RT info:eu-repo/semantics/article
T1 Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities
A1 Bravo Oviedo, Felipe
A1 Fabrika, Marek
A1 Ammer, Christian
A1 Barreiro, Susana
A1 Bielak, Kamil
A1 Coll, Lluis
A1 Fonseca, Teresa
A1 Kangur, Ahto
A1 Löf, Magnus
A1 Merganičová, Katarina
A1 Pach, Maciej
A1 Pretzsch, Hans
A1 Stojanović, Dejan
A1 Schuler, Laura
A1 Peric, Sanja
A1 Rötzer, Thomas
A1 Río Gaztelurrutia, Miren del
A1 Dodan, Martina
A1 Bravo Oviedo, Andrés
K1 Dynamics
K1 Ecología
K1 Biodiversidad forestal
K1 Forest biodiversity
K1 3106 Ciencia Forestal
AB Aim of study: Modelling of forest growth and dynamics has focused mainly on pure stands. Mixed-forest management lacks systematic procedures to forecast the impact of silvicultural actions. The main objective of the present work is to review current knowledge and forest model developments that can be applied to mixed forests.Material and methods: Primary research literature was reviewed to determine the state of the art for modelling tree species mixtures, focusing mainly on temperate forests.Main results: The essential principles for predicting stand growth in mixed forests were identified. Forest model applicability in mixtures was analysed. Input data, main model components, output and viewers were presented. Finally, model evaluation procedures and some of the main model platforms were described.Research highlights: Responses to environmental changes and management activities in mixed forests can differ from pure stands. For greater insight into mixed-forest dynamics and ecology, forest scientists and practitioners need new theoretical frameworks, different approaches and innovative solutions for sustainable forest management in the context of environmental and social changes.
PB Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
SN 2171-5068
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/49978
UL https://uvadoc.uva.es/handle/10324/49978
LA eng
NO Forest systems, 2019, Vol. 28, Nº. 1, 18 pp.
NO Producción Científica
DS UVaDOC
RD 19-may-2024